Researchers at Liverpool School of Tropical Medicine (LSTM) have identified a bacterium strongly associated with noma disease, marking a major step toward earlier diagnosis and more effective ...

Conventional machine learning models often neglect these spatiotemporal dynamics, while numerical models suffer from high computational costs and limited ability to predict high-concentration ozone ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...